Instructions to use omarcalderon4/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarcalderon4/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("omarcalderon4/results", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb0e1ad706df97bbd68926b829bf831e1db8c7a36eeeec7891adf02ac9a82a9e
- Size of remote file:
- 5.82 kB
- SHA256:
- 425444570dd4d3b4068458eed7ada42d1686c1482030f3857c6f5ec0ff979ece
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